The project is a sales forecasting and retail analysis solution. We have used multiple local retail datasets, and Microsoft Fabric to predict; demand, price, and sales over a time series. The project also utilizes Azure openAI to query lakehouse data, including the prediction models to lower accessibility for non technical users, and provide intelligence for business executives. The project utilizes a clean medallion architecture, with organization in simple reproducible notebooks.
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commented
2 months ago
Project name
Smart Retail Forecasting
Description
The project is a sales forecasting and retail analysis solution. We have used multiple local retail datasets, and Microsoft Fabric to predict; demand, price, and sales over a time series. The project also utilizes Azure openAI to query lakehouse data, including the prediction models to lower accessibility for non technical users, and provide intelligence for business executives. The project utilizes a clean medallion architecture, with organization in simple reproducible notebooks.
Project Repository URL
https://github.com/gTahidi/fabric-hacktogether/tree/main#
Project video
https://youtu.be/HJ7VWDDhi_o
Team members
Daniel, Del, Brian
Registration status.